His scientific interests lie mostly in MIMO, Electronic engineering, Orthogonal frequency-division multiplexing, Algorithm and Channel capacity. The concepts of his MIMO study are interwoven with issues in Telecommunications link, Antenna and Communications system. Fredrik Rusek interconnects Many antennas, Surface wave and Topology in the investigation of issues within Communications system.
His Electronic engineering research is multidisciplinary, incorporating perspectives in Multi-user MIMO, 3G MIMO, Spectral efficiency and Computer network, Base station. His studies in Base station integrate themes in fields like Transmitter, Coding, Bell Laboratories Layered Space-Time and Wireless broadband. His work investigates the relationship between Orthogonal frequency-division multiplexing and topics such as Quadrature amplitude modulation that intersect with problems in Raised-cosine filter.
His primary areas of investigation include MIMO, Communication channel, Algorithm, Electronic engineering and Communications system. His research in MIMO intersects with topics in Antenna, Telecommunications link and Base station. When carried out as part of a general Antenna research project, his work on Antenna array is frequently linked to work in Surface, therefore connecting diverse disciplines of study.
Within one scientific family, Fredrik Rusek focuses on topics pertaining to Filter under Communication channel, and may sometimes address concerns connected to Demodulation. His research integrates issues of Theoretical computer science, Telecommunications, Detector, Single antenna interference cancellation and Intersymbol interference in his study of Algorithm. His biological study spans a wide range of topics, including Multi-user MIMO, Spectral efficiency and Orthogonal frequency-division multiplexing.
MIMO, Communications system, Telecommunications link, Communication channel and Base station are his primary areas of study. His MIMO research is multidisciplinary, relying on both Wireless, Distributed computing, Baseband, Antenna and Topology. His Communications system research includes elements of Terminal, Simulation and Zero Forcing Equalizer.
His Telecommunications link study is concerned with the field of Computer network as a whole. Fredrik Rusek has included themes like Transmitter power output, Signal-to-noise ratio, Signal, Algorithm and Electronic engineering in his Communication channel study. His Electronic engineering study combines topics in areas such as Extremely high frequency, Wireless network and Electronics.
Fredrik Rusek mostly deals with MIMO, Communications system, Telecommunications link, Algorithm and Topology. In the subject of general MIMO, his work in Precoding is often linked to Software deployment, thereby combining diverse domains of study. The Precoding study combines topics in areas such as Daisy chain and Base station.
His studies deal with areas such as Simulation, Communication channel, Antenna and Mimo communication as well as Communications system. Fredrik Rusek focuses mostly in the field of Telecommunications link, narrowing it down to topics relating to Baseband and, in certain cases, Throughput and Computer network. His Topology study incorporates themes from Transmitter power output, Telecommunications, Antenna array and Data transmission.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Scaling up MIMO: Opportunities and Challenges with Very Large Arrays
Fredrik Rusek;Daniel Persson;Buon Kiong Lau;Erik G. Larsson.
arXiv: Information Theory (2012)
Scaling up MIMO: Opportunities and Challenges with Very Large Arrays
Fredrik Rusek;Daniel Persson;Buon Kiong Lau;Erik G. Larsson.
arXiv: Information Theory (2012)
Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays
F. Rusek;D. Persson;Buon Kiong Lau;E. G. Larsson.
IEEE Signal Processing Magazine (2013)
Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays
F. Rusek;D. Persson;Buon Kiong Lau;E. G. Larsson.
IEEE Signal Processing Magazine (2013)
Modulation Formats and Waveforms for 5G Networks: Who Will Be the Heir of OFDM?: An overview of alternative modulation schemes for improved spectral efficiency
Paolo Banelli;Stefano Buzzi;Giulio Colavolpe;Andrea Modenini.
IEEE Signal Processing Magazine (2014)
Modulation Formats and Waveforms for 5G Networks: Who Will Be the Heir of OFDM?: An overview of alternative modulation schemes for improved spectral efficiency
Paolo Banelli;Stefano Buzzi;Giulio Colavolpe;Andrea Modenini.
IEEE Signal Processing Magazine (2014)
Massive MIMO Performance Evaluation Based on Measured Propagation Data
Xiang Gao;Ove Edfors;Fredrik Rusek;Fredrik Tufvesson.
IEEE Transactions on Wireless Communications (2015)
Massive MIMO Performance Evaluation Based on Measured Propagation Data
Xiang Gao;Ove Edfors;Fredrik Rusek;Fredrik Tufvesson.
IEEE Transactions on Wireless Communications (2015)
Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces
Sha Hu;Fredrik Rusek;Ove Edfors.
IEEE Transactions on Signal Processing (2018)
Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces
Sha Hu;Fredrik Rusek;Ove Edfors.
IEEE Transactions on Signal Processing (2018)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Lund University
Lund University
University of Parma
Linköping University
Google (United States)
Pompeu Fabra University
The University of Texas at Dallas
New York University
University of Cassino and Southern Lazio
ETH Zurich
University of Waikato
The University of Texas at Austin
Columbia University
Institute Curie
École Polytechnique Fédérale de Lausanne
University of Parma
University of Manchester
University of Tehran
American Museum of Natural History
Doshisha University
Université Paris Cité
Institut de Physique du Globe de Paris
Regeneron (United States)
City, University of London
Stanford University
University of Arizona